Query Quality Index is a metric used to measure how effective and relevant a search query is in producing useful results. It assesses factors such as how clearly the query matches the intended information and how well the results satisfy the user’s needs. This index helps organisations improve their search systems by identifying and refining…
Prompt performance dashboards are visual tools that display how well prompts perform when used with artificial intelligence or automated systems. They help users track key metrics such as accuracy, response time, and error rates, making it easier to see which prompts work best. These dashboards are valuable for quickly identifying issues and making improvements to…
Latency-Aware Prompt Scheduling is a method for organising and managing prompts sent to artificial intelligence models based on how quickly they can be processed. It aims to minimise waiting times and improve the overall speed of responses, especially when multiple prompts are handled at once. By considering the expected delay for each prompt, systems can…
Distributed prompt routing is a method used to direct user questions or tasks to the most suitable AI model or system across a network. Instead of sending every prompt to a single AI, the system analyses the request and chooses the best available resource, which could be a specialised language model or a different server….
Prompt caching at edge refers to storing the results of frequently used AI prompts on servers located close to users, known as edge servers. This approach reduces the need to send identical requests to central servers, saving time and network resources. By keeping commonly requested data nearby, users experience faster response times and less delay…
Serverless prompt processing refers to handling and responding to user prompts or requests using cloud-based functions that run only when needed, without managing traditional servers. This approach lets developers focus on creating and improving prompt logic, as the cloud provider automatically manages servers, scaling, and maintenance. It is especially useful for applications that process natural…
Prompt routing via tags is a method used in AI systems to direct user requests to the most suitable processing pipeline or model. Each prompt is labelled with specific tags that indicate its topic, intent or required expertise. The system then uses these tags to decide which specialised resource or workflow should handle the prompt,…
Prompt-Enhanced Webhooks are webhooks that use prompts, often powered by artificial intelligence, to process or enrich the data they receive before passing it on to another service or application. Instead of simply forwarding information, these webhooks can interpret, summarise, or modify the content based on instructions provided in a prompt. This makes automated workflows more…
Flow control logic in Retrieval-Augmented Generation (RAG) refers to the rules and processes that manage how information is retrieved and used during a question-answering or content generation task. It decides the sequence of operations, such as when to fetch data, when to use retrieved content, and how to combine it with generated text. This logic…
No-Code Prompt Automation is a method that allows people to set up and run automated text prompts for AI tools without needing to write any code. It uses visual interfaces or simple configuration steps, so users can link actions, set rules, and create workflows easily. This approach makes it possible for non-technical users to benefit…